Fréchet radiomic distance (FRD): A versatile metric for comparing medical imaging datasets.

Maciej A. Mazurowski https://orcid.org/0000-0003-4202-8602 https://www.wikidata.org/entity/Q91739310

Nicholas Konz Richard Osuala Preeti Verma Yuwen Chen 0003 Hanxue Gu Haoyu Dong 0003 Yaqian Chen Andrew Marshall Lidia Garrucho Kaisar Kushibar Daniel Lang 0003 Sungheon Gene Kim Lars J. Grimm John Lewin James S. Duncan Julia A. Schnabel Oliver Díaz Karim Lekadir Maciej A. Mazurowski Fréchet radiomic distance (FRD): A versatile metric for comparing medical imaging datasets. 2026 103943 110 Medical Image Anal. https://doi.org/10.1016/j.media.2026.103943 db/journals/mia/mia110.html#KonzOVCGDCMGKLKGLDSDLM26 streams/journals/mia

Yuwen Chen 0003 Zafer Yildiz Qihang Li Yaqian Chen Haoyu Dong 0003 Hanxue Gu Nicholas Konz Maciej A. Mazurowski Accelerating Volumetric Medical Image Annotation via Short-Long Memory SAM 2. 2026 April 1461-1474 45 IEEE Trans. Medical Imaging 4 https://doi.org/10.1109/TMI.2025.3627954 db/journals/tmi/tmi45.html#ChenYLCDGKM26 streams/journals/tmi

Jichen Yang Jikai Zhang Benjamin Wildman-Tobriner Maciej A. Mazurowski Effectiveness of Automatically Curated Dataset in Thyroid Nodules Classification Algorithms Using Deep Learning. 2026 February abs/2602.01020 CoRR https://doi.org/10.48550/arXiv.2602.01020 db/journals/corr/corr2602.html#abs-2602-01020 streams/journals/corr

Mohamed Sobhi Jabal Jikai Zhang Dominic LaBella Jessica L. Houk Dylan Zhang Jeffrey D. Rudie Kirti Magudia Maciej A. Mazurowski Evan Calabrese Agentic Automation of BT-RADS Scoring: End-to-End Multi-Agent System for Standardized Brain Tumor Follow-up Assessment. 2026 March abs/2603.21494 CoRR https://doi.org/10.48550/arXiv.2603.21494 db/journals/corr/corr2603.html#abs-2603-21494 streams/journals/corr

Yixin Zhang Shen Zhao Hanxue Gu Maciej A. Mazurowski How to Efficiently Annotate Images for Best-Performing Deep Learning-Based Segmentation Models: An Empirical Study with Weak and Noisy Annotations and Segment Anything Model. 3235-3247 2025 38 J. Imaging Inform. Medicine 5 https://doi.org/10.1007/s10278-025-01408-7 db/journals/jdi/jdi38.html#ZhangZGM25 streams/journals/jdi

Hanxue Gu Roy J. Colglazier Haoyu Dong 0003 Jikai Zhang Yaqian Chen Zafer Yildiz Yuwen Chen 0003 Lin Li Jichen Yang Jay Willhite Alex M. Meyer Brian Guo Yashvi Atul Shah Emily Luo Shipra Rajput Sally Kuehn Clark Bulleit Kevin A. Wu Jisoo Lee Brandon Ramirez Darui Lu Jay M. Levin Maciej A. Mazurowski SegmentAnyBone: A universal model that segments any bone at any location on MRI. 103469 2025 101 Medical Image Anal. https://doi.org/10.1016/j.media.2025.103469 db/journals/mia/mia101.html#GuCDZCYCLYWMGSLRKBWLRLL25 streams/journals/mia

Hanxue Gu Yaqian Chen Nicholas Konz Qihang Li Maciej A. Mazurowski Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration? 101-112 2025 Deep-Breath@MICCAI https://doi.org/10.1007/978-3-032-05559-0_11 conf/miccai/2025deepbreath db/conf/miccai/deepbreath2025.html#GuCKLM25 streams/conf/miccai Qihang Li Jichen Yang Yaqian Chen Yuwen Chen 0003 Hanxue Gu Lars J. Grimm Maciej A. Mazurowski BreastSegNet: Multi-label Segmentation of Breast MRI. 196-205 2025 Deep-Breath@MICCAI https://doi.org/10.1007/978-3-032-05559-0_20 conf/miccai/2025deepbreath db/conf/miccai/deepbreath2025.html#LiYCCGGM25 streams/conf/miccai

Yaqian Chen Hanxue Gu Yuwen Chen 0003 Jicheng Yang Haoyu Dong 0003 Joseph Y. Cao Adrian Camarena Christopher Mantyh Roy J. Colglazier Maciej A. Mazurowski Automated Muscle and Fat Segmentation in Computed Tomography for Comprehensive Body Composition Analysis. 2025 February abs/2502.09779 CoRR https://doi.org/10.48550/arXiv.2502.09779 db/journals/corr/corr2502.html#abs-2502-09779 streams/journals/corr

Yaqian Chen Lin Li Hanxue Gu Haoyu Dong 0003 Derek L. Nguyen Allan D. Kirk Maciej A. Mazurowski Eun-Sil Shelley Hwang Breast density in MRI: an AI-based quantification and relationship to assessment in mammography. 2025 April abs/2504.15192 CoRR https://doi.org/10.48550/arXiv.2504.15192 db/journals/corr/corr2504.html#abs-2504-15192 streams/journals/corr

Yuwen Chen 0003 Zafer Yildiz Qihang Li Yaqian Chen Haoyu Dong 0003 Hanxue Gu Nicholas Konz Maciej A. Mazurowski Accelerating Volumetric Medical Image Annotation via Short-Long Memory SAM 2. 2025 May abs/2505.01854 CoRR https://doi.org/10.48550/arXiv.2505.01854 db/journals/corr/corr2505.html#abs-2505-01854 streams/journals/corr

Yaqian Chen Hanxue Gu Haoyu Dong 0003 Qihang Li Yuwen Chen 0003 Nicholas Konz Lin Li Maciej A. Mazurowski GuidedMorph: Two-Stage Deformable Registration for Breast MRI. 2025 May abs/2505.13414 CoRR https://doi.org/10.48550/arXiv.2505.13414 db/journals/corr/corr2505.html#abs-2505-13414 streams/journals/corr

Hanxue Gu Yaqian Chen Jisoo Lee Diego Schaps Regina Woody Roy J. Colglazier Maciej A. Mazurowski Christopher Mantyh Improving Surgical Risk Prediction Through Integrating Automated Body Composition Analysis: a Retrospective Trial on Colectomy Surgery. 2025 June abs/2506.11996 CoRR https://doi.org/10.48550/arXiv.2506.11996 db/journals/corr/corr2506.html#abs-2506-11996 streams/journals/corr

Haoyu Dong 0003 Yuwen Chen 0003 Hanxue Gu Nicholas Konz Yaqian Chen Qihang Li Maciej A. Mazurowski MRI-CORE: A Foundation Model for Magnetic Resonance Imaging. 2025 June abs/2506.12186 CoRR https://doi.org/10.48550/arXiv.2506.12186 db/journals/corr/corr2506.html#abs-2506-12186 streams/journals/corr

Roy J. Colglazier Jisoo Lee Haoyu Dong 0003 Hanxue Gu Yaqian Chen Joseph Y. Cao Zafer Yildiz Zhonghao Liu Nicholas Konz Jichen Yang Jikai Zhang Yuwen Chen 0003 Lin Li Adrian Camarena Maciej A. Mazurowski SegmentAnyMuscle: A universal muscle segmentation model across different locations in MRI. 2025 June abs/2506.22467 CoRR https://doi.org/10.48550/arXiv.2506.22467 db/journals/corr/corr2506.html#abs-2506-22467 streams/journals/corr

Hanxue Gu Yaqian Chen Nicholas Konz Qihang Li Maciej A. Mazurowski Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration? 2025 July abs/2507.11569 CoRR https://doi.org/10.48550/arXiv.2507.11569 db/journals/corr/corr2507.html#abs-2507-11569 streams/journals/corr

Qihang Li Jichen Yang Yaqian Chen Yuwen Chen 0003 Hanxue Gu Lars J. Grimm Maciej A. Mazurowski BreastSegNet: Multi-label Segmentation of Breast MRI. 2025 July abs/2507.13604 CoRR https://doi.org/10.48550/arXiv.2507.13604 db/journals/corr/corr2507.html#abs-2507-13604 streams/journals/corr

Jisoo Lee Michael R. Harowicz Yuwen Chen 0003 Hanxue Gu Isaac S. Alderete Lin Li Maciej A. Mazurowski Matthew G. Hartwig Transplant-Ready? Evaluating AI Lung Segmentation Models in Candidates with Severe Lung Disease. 2025 September abs/2509.15083 CoRR https://doi.org/10.48550/arXiv.2509.15083 db/journals/corr/corr2509.html#abs-2509-15083 streams/journals/corr

Yixin Zhang Ryan Chamberlain Lawrence Ngo Kevin Kramer Maciej A. Mazurowski Rethinking Pulmonary Embolism Segmentation: A Study of Current Approaches and Challenges with an Open Weight Model. 2025 September abs/2509.18308 CoRR https://doi.org/10.48550/arXiv.2509.18308 db/journals/corr/corr2509.html#abs-2509-18308 streams/journals/corr

Zhonghao Liu Hanxue Gu Qihang Li Michael Fox Jay M. Levin Maciej A. Mazurowski Brian C. Lau Fully Automated Deep Learning Based Glenoid Bone Loss Measurement and Severity Stratification on 3D CT in Shoulder Instability. 2025 November abs/2511.14083 CoRR https://doi.org/10.48550/arXiv.2511.14083 db/journals/corr/corr2511.html#abs-2511-14083 streams/journals/corr

Jee Seok Yoon Kwanseok Oh Yooseung Shin Maciej A. Mazurowski Heung-Il Suk Domain Generalization for Medical Image Analysis: A Review. 1583-1609 2024 October 112 Proc. IEEE 10 https://doi.org/10.1109/JPROC.2024.3507831 db/journals/pieee/pieee112.html#YoonOSMS24 streams/journals/pieee

Yixin Zhang Maciej A. Mazurowski Convolutional neural networks rarely learn shape for semantic segmentation. 110018 2024 February 146 Pattern Recognit. https://doi.org/10.1016/j.patcog.2023.110018 db/journals/pr/pr146.html#ZhangM24

Haoyu Dong 0003 Nicholas Konz Hanxue Gu Maciej A. Mazurowski Medical Image Segmentation with InTEnt: Integrated Entropy Weighting for Single Image Test-Time Adaptation. 5046-5055 2024 CVPR Workshops https://doi.org/10.1109/CVPRW63382.2024.00511 conf/cvpr/2024w db/conf/cvpr/cvprw2024.html#0003KGM22 Nicholas Konz Maciej A. Mazurowski The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images. 2024 ICLR https://openreview.net/forum?id=ixP76Y33y1 conf/iclr/2024 db/conf/iclr/iclr2024.html#KonzM24 Nicholas Konz Yuwen Chen 0003 Haoyu Dong 0003 Maciej A. Mazurowski Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models. 88-98 2024 MICCAI (7) https://doi.org/10.1007/978-3-031-72104-5_9 conf/miccai/2024-7 db/conf/miccai/miccai2024-7.html#KonzCDM24 streams/conf/miccai Hanxue Gu Roy J. Colglazier Jikai Zhang Robert Lark Benjamin Alman Maciej A. Mazurowski Predicting 3D forearm fracture angle from biplanar Xray images with rotational bone pose estimation. 554-576 2024 MIDL https://proceedings.mlr.press/v250/gu24a.html conf/midl/2024 db/conf/midl/midl2024.html#GuCZLAM24 Pedro R. A. S. Bassi Wenxuan Li Yucheng Tang Fabian Isensee Zifu Wang Jieneng Chen Yu-Cheng Chou Yannick Kirchhoff Maximilian Rokuss Ziyan Huang Jin Ye 0002 Junjun He Tassilo Wald Constantin Ulrich Michael Baumgartner 0001 Saikat Roy Klaus H. Maier-Hein Paul F. Jaeger Yiwen Ye Yutong Xie 0001 Jianpeng Zhang Ziyang Chen 0003 Yong Xia 0001 Zhaohu Xing Lei Zhu 0003 Yousef Sadegheih Afshin Bozorgpour Pratibha Kumari 0001 Reza Azad Dorit Merhof Pengcheng Shi Ting Ma Yuxin Du 0001 Fan Bai 0008 Tiejun Huang 0001 Bo Zhao 0015 Haonan Wang Xiaomeng Li 0001 Hanxue Gu Haoyu Dong 0003 Jichen Yang Maciej A. Mazurowski Saumya Gupta Linshan Wu Jia-Xin Zhuang Hao Chen 0011 Holger Roth Daguang Xu Matthew B. Blaschko Sergio Decherchi Andrea Cavalli Alan L. Yuille Zongwei Zhou Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? 2024 NeurIPS http://papers.nips.cc/paper_files/paper/2024/hash/1b8726b572e0dfa72793f9f6590664fd-Abstract-Datasets_and_Benchmarks_Track.html conf/nips/2024 db/conf/nips/neurips2024.html#BassiLTIWCCKRHY24

Nicholas Konz Maciej A. Mazurowski The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images. 2024 abs/2401.08865 CoRR https://doi.org/10.48550/arXiv.2401.08865 db/journals/corr/corr2401.html#abs-2401-08865

Hanxue Gu Roy J. Colglazier Haoyu Dong 0003 Jikai Zhang Yaqian Chen Zafer Yildiz Yuwen Chen 0003 Lin Li Jichen Yang Jay Willhite Alex M. Meyer Brian Guo Yashvi Atul Shah Emily Luo Shipra Rajput Sally Kuehn Clark Bulleit Kevin A. Wu Jisoo Lee Brandon Ramirez Darui Lu Jay M. Levin Maciej A. Mazurowski SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI. 2024 abs/2401.12974 CoRR https://doi.org/10.48550/arXiv.2401.12974 db/journals/corr/corr2401.html#abs-2401-12974

Nicholas Konz Yuwen Chen 0003 Haoyu Dong 0003 Maciej A. Mazurowski Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models. 2024 abs/2402.05210 CoRR https://doi.org/10.48550/arXiv.2402.05210 db/journals/corr/corr2402.html#abs-2402-05210

Haoyu Dong 0003 Nicholas Konz Hanxue Gu Maciej A. Mazurowski Medical Image Segmentation with InTEnt: Integrated Entropy Weighting for Single Image Test-Time Adaptation. 2024 abs/2402.09604 CoRR https://doi.org/10.48550/arXiv.2402.09604 db/journals/corr/corr2402.html#abs-2402-09604

Yuwen Chen 0003 Nicholas Konz Hanxue Gu Haoyu Dong 0003 Yaqian Chen Lin Li Jisoo Lee Maciej A. Mazurowski ContourDiff: Unpaired Image Translation with Contour-Guided Diffusion Models. 2024 abs/2403.10786 CoRR https://doi.org/10.48550/arXiv.2403.10786 db/journals/corr/corr2403.html#abs-2403-10786

Keyu Li Hanxue Gu Roy J. Colglazier Robert Lark Elizabeth Hubbard Robert French Denise Smith Jikai Zhang Erin McCrum Anthony Catanzano Joseph Y. Cao Leah Waldman Maciej A. Mazurowski Benjamin Alman Deep learning automates Cobb angle measurement compared with multi-expert observers. 2024 abs/2403.12115 CoRR https://doi.org/10.48550/arXiv.2403.12115 db/journals/corr/corr2403.html#abs-2403-12115

Nicholas Konz Yuwen Chen 0003 Hanxue Gu Haoyu Dong 0003 Maciej A. Mazurowski Rethinking Perceptual Metrics for Medical Image Translation. 2024 abs/2404.07318 CoRR https://doi.org/10.48550/arXiv.2404.07318 db/journals/corr/corr2404.html#abs-2404-07318

Hanxue Gu Haoyu Dong 0003 Jichen Yang Maciej A. Mazurowski How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model. 2024 abs/2404.09957 CoRR https://doi.org/10.48550/arXiv.2404.09957 db/journals/corr/corr2404.html#abs-2404-09957

Haoyu Dong 0003 Hanxue Gu Yaqian Chen Jichen Yang Yuwen Chen 0003 Maciej A. Mazurowski Segment anything model 2: an application to 2D and 3D medical images. 2024 abs/2408.00756 CoRR https://doi.org/10.48550/arXiv.2408.00756 db/journals/corr/corr2408.html#abs-2408-00756 streams/journals/corr

Nicholas Konz Maciej A. Mazurowski Pre-processing and Compression: Understanding Hidden Representation Refinement Across Imaging Domains via Intrinsic Dimension. 2024 abs/2408.08381 CoRR https://doi.org/10.48550/arXiv.2408.08381 db/journals/corr/corr2408.html#abs-2408-08381 streams/journals/corr

Zafer Yildiz Yuwen Chen 0003 Maciej A. Mazurowski SAM & SAM 2 in 3D Slicer: SegmentWithSAM Extension for Annotating Medical Images. 2024 abs/2408.15224 CoRR https://doi.org/10.48550/arXiv.2408.15224 db/journals/corr/corr2408.html#abs-2408-15224 streams/journals/corr

Gregory Szumel Brian Guo Darui Lu Rongze Gui Tingyu Wang Nicholas Konz Maciej A. Mazurowski The Impact of Scanner Domain Shift on Deep Learning Performance in Medical Imaging: an Experimental Study. 2024 abs/2409.04368 CoRR https://doi.org/10.48550/arXiv.2409.04368 db/journals/corr/corr2409.html#abs-2409-04368 streams/journals/corr

Mohamed Sobhi Jabal Pranav I. Warman Jikai Zhang Kartikeye Gupta Ayush Jain Maciej A. Mazurowski Walter F. Wiggins Kirti Magudia Evan Calabrese Language Models and Retrieval Augmented Generation for Automated Structured Data Extraction from Diagnostic Reports. 2024 abs/2409.10576 CoRR https://doi.org/10.48550/arXiv.2409.10576 db/journals/corr/corr2409.html#abs-2409-10576 streams/journals/corr

Pedro R. A. S. Bassi Wenxuan Li Yucheng Tang Fabian Isensee Zifu Wang Jieneng Chen Yu-Cheng Chou Yannick Kirchhoff Maximilian Rokuss Ziyan Huang Jin Ye 0002 Junjun He Tassilo Wald Constantin Ulrich Michael Baumgartner 0001 Saikat Roy Klaus H. Maier-Hein Paul F. Jaeger Yiwen Ye Yutong Xie 0001 Jianpeng Zhang Ziyang Chen 0003 Yong Xia 0001 Zhaohu Xing Lei Zhu 0003 Yousef Sadegheih Afshin Bozorgpour Pratibha Kumari 0001 Reza Azad Dorit Merhof Pengcheng Shi Ting Ma Yuxin Du 0001 Fan Bai 0008 Tiejun Huang 0003 Bo Zhao 0015 Haonan Wang Xiaomeng Li 0001 Hanxue Gu Haoyu Dong 0003 Jichen Yang Maciej A. Mazurowski Saumya Gupta Linshan Wu Jiaxin Zhuang Hao Chen 0011 Holger Roth Daguang Xu Matthew B. Blaschko Sergio Decherchi Andrea Cavalli Alan L. Yuille Zongwei Zhou Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? 2024 abs/2411.03670 CoRR https://doi.org/10.48550/arXiv.2411.03670 db/journals/corr/corr2411.html#abs-2411-03670 streams/journals/corr

Nicholas Konz Yuwen Chen 0003 Hanxue Gu Haoyu Dong 0003 Yaqian Chen Maciej A. Mazurowski RaD: A Metric for Medical Image Distribution Comparison in Out-of-Domain Detection and Other Applications. 2024 abs/2412.01496 CoRR https://doi.org/10.48550/arXiv.2412.01496 db/journals/corr/corr2412.html#abs-2412-01496 streams/journals/corr

Yixin Zhang Nicholas Konz Kevin Kramer Maciej A. Mazurowski Quantifying the Limits of Segment Anything Model: Analyzing Challenges in Segmenting Tree-Like and Low-Contrast Structures. 2024 abs/2412.04243 CoRR https://doi.org/10.48550/arXiv.2412.04243 db/journals/corr/corr2412.html#abs-2412-04243 streams/journals/corr

Yixin Zhang Kevin Kramer Maciej A. Mazurowski How to select slices for annotation to train best-performing deep learning segmentation models for cross-sectional medical images? 2024 abs/2412.08081 CoRR https://doi.org/10.48550/arXiv.2412.08081 db/journals/corr/corr2412.html#abs-2412-08081 streams/journals/corr

Jikai Zhang Maciej A. Mazurowski Brian C. Allen Benjamin Wildman-Tobriner Multistep Automated Data Labelling Procedure (MADLaP) for thyroid nodules on ultrasound: An artificial intelligence approach for automating image annotation. 102553 2023 141 Artif. Intell. Medicine https://doi.org/10.1016/j.artmed.2023.102553 db/journals/artmed/artmed141.html#ZhangMAW23

Shixing Cao Nicholas Konz James S. Duncan Maciej A. Mazurowski Deep Learning for Breast MRI Style Transfer with Limited Training Data. 666-678 2023 April 36 J. Digit. Imaging 2 https://doi.org/10.1007/s10278-022-00755-z db/journals/jdi/jdi36.html#CaoKDM23

Jikai Zhang Carlos Santos Christine Park Maciej A. Mazurowski Roy J. Colglazier Improving Image Classification of Knee Radiographs: An Automated Image Labeling Approach. 2402-2410 2023 December 36 J. Digit. Imaging 6 https://doi.org/10.1007/s10278-023-00894-x db/journals/jdi/jdi36.html#ZhangSPMC23

Nicholas Konz Haoyu Dong 0003 Maciej A. Mazurowski Unsupervised anomaly localization in high-resolution breast scans using deep pluralistic image completion. 102836 2023 87 Medical Image Anal. https://doi.org/10.1016/j.media.2023.102836 db/journals/mia/mia87.html#KonzDM23

Maciej A. Mazurowski Haoyu Dong 0003 Hanxue Gu Jichen Yang Nicholas Konz Yixin Zhang Segment anything model for medical image analysis: An experimental study. 102918 2023 October 89 Medical Image Anal. https://doi.org/10.1016/j.media.2023.102918 db/journals/mia/mia89.html#MazurowskiDGYKZ23

Haoyu Dong 0003 Yifan Zhang 0013 Hanxue Gu Nicholas Konz Yixin Zhang Maciej A. Mazurowski SWSSL: Sliding Window-Based Self-Supervised Learning for Anomaly Detection in High-Resolution Images. 3860-3870 2023 December 42 IEEE Trans. Medical Imaging 12 https://doi.org/10.1109/TMI.2023.3314318 db/journals/tmi/tmi42.html#DongZGKZM23

Hanxue Gu Hongyu He Roy J. Colglazier Jordan Axelrod Robert French Maciej A. Mazurowski SuperMask: Generating High-resolution object masks from multi-view, unaligned low-resolution MRIs. 119-133 2023 MIDL https://proceedings.mlr.press/v227/gu24b.html conf/midl/2023 db/conf/midl/midl2023.html#GuHCAFM23 Nicholas Konz Maciej A. Mazurowski Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images. 829-845 2023 MIDL https://proceedings.mlr.press/v227/konz24a.html conf/midl/2023 db/conf/midl/midl2023.html#KonzM23

Shixing Cao Nicholas Konz James S. Duncan Maciej A. Mazurowski Deep Learning for Breast MRI Style Transfer with Limited Training Data. 2023 abs/2301.02069 CoRR https://doi.org/10.48550/arXiv.2301.02069 db/journals/corr/corr2301.html#abs-2301-02069

Nicholas Konz Maciej A. Mazurowski Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images. 2023 abs/2303.04911 CoRR https://doi.org/10.48550/arXiv.2303.04911 db/journals/corr/corr2303.html#abs-2303-04911

Hanxue Gu Hongyu He Roy J. Colglazier Jordan Axelrod Robert French Maciej A. Mazurowski SuperMask: Generating High-resolution object masks from multi-view, unaligned low-resolution MRIs. 2023 abs/2303.07517 CoRR https://doi.org/10.48550/arXiv.2303.07517 db/journals/corr/corr2303.html#abs-2303-07517

Maciej A. Mazurowski Haoyu Dong 0003 Hanxue Gu Jichen Yang Nicholas Konz Yixin Zhang Segment Anything Model for Medical Image Analysis: an Experimental Study. 2023 abs/2304.10517 CoRR https://doi.org/10.48550/arXiv.2304.10517 db/journals/corr/corr2304.html#abs-2304-10517

Nicholas Konz Haoyu Dong 0003 Maciej A. Mazurowski Unsupervised anomaly localization in high-resolution breast scans using deep pluralistic image completion. 2023 abs/2305.03098 CoRR https://doi.org/10.48550/arXiv.2305.03098 db/journals/corr/corr2305.html#abs-2305-03098

Yixin Zhang Maciej A. Mazurowski Convolutional Neural Networks Rarely Learn Shape for Semantic Segmentation. 2023 abs/2305.06568 CoRR https://doi.org/10.48550/arXiv.2305.06568 db/journals/corr/corr2305.html#abs-2305-06568

Hanxue Gu Haoyu Dong 0003 Nicholas Konz Maciej A. Mazurowski A systematic study of the foreground-background imbalance problem in deep learning for object detection. 2023 abs/2306.16539 CoRR https://doi.org/10.48550/arXiv.2306.16539 db/journals/corr/corr2306.html#abs-2306-16539

Jikai Zhang Carlos Santos Christine Park Maciej A. Mazurowski Roy J. Colglazier Improving Image Classification of Knee Radiographs: An Automated Image Labeling Approach. 2023 abs/2309.02681 CoRR https://doi.org/10.48550/arXiv.2309.02681 db/journals/corr/corr2309.html#abs-2309-02681

Jee Seok Yoon Kwanseok Oh Yooseung Shin Maciej A. Mazurowski Heung-Il Suk Domain Generalization for Medical Image Analysis: A Survey. 2023 abs/2310.08598 CoRR https://doi.org/10.48550/arXiv.2310.08598 db/journals/corr/corr2310.html#abs-2310-08598

Yixin Zhang Shen Zhao Hanxue Gu Maciej A. Mazurowski How to Efficiently Annotate Images for Best-Performing Deep Learning Based Segmentation Models: An Empirical Study with Weak and Noisy Annotations and Segment Anything Model. 2023 abs/2312.10600 CoRR https://doi.org/10.48550/arXiv.2312.10600 db/journals/corr/corr2312.html#abs-2312-10600

Vincent M. D'Anniballe Fakrul Islam Tushar Khrystyna Faryna Songyue Han Maciej A. Mazurowski Geoffrey D. Rubin Joseph Y. Lo Multi-label annotation of text reports from computed tomography of the chest, abdomen, and pelvis using deep learning. 102 2022 22 BMC Medical Informatics Decis. Mak. 1 https://doi.org/10.1186/s12911-022-01843-4 db/journals/midm/midm22.html#DAnniballeTFHMR22

Zhe Zhu Amber Mittendorf Erin Shropshire Brian C. Allen Chad M. Miller Mustafa R. Bashir Maciej A. Mazurowski 3D Pyramid Pooling Network for Abdominal MRI Series Classification. 1688-1698 2022 44 IEEE Trans. Pattern Anal. Mach. Intell. 4 https://doi.org/10.1109/TPAMI.2020.3033990 https://www.wikidata.org/entity/Q101044612 db/journals/pami/pami44.html#ZhuMSAMBM22

Rui Hou 0002 Yifan Peng 0004 Lars J. Grimm Yinhao Ren Maciej A. Mazurowski Jeffrey R. Marks Lorraine M. King Carlo C. Maley Eun-Sil Shelley Hwang Joseph Y. Lo Anomaly Detection of Calcifications in Mammography Based on 11, 000 Negative Cases. 1639-1650 2022 69 IEEE Trans. Biomed. Eng. 5 https://doi.org/10.1109/TBME.2021.3126281 db/journals/tbe/tbe69.html#HouPGRMMKMHL22

Fakrul Islam Tushar Ehsan Abadi Saman Sotoudeh-Paima Rafael B. Fricks Maciej A. Mazurowski William Paul Segars Ehsan Samei Joseph Y. Lo Virtual vs. reality: external validation of COVID-19 classifiers using XCAT phantoms for chest computed tomography. 2022 Computer-Aided Diagnosis https://doi.org/10.1117/12.2613010 conf/micad/2022 db/conf/micad/micad2022.html#TusharASFMSSL22 Yifan Zhang 0013 Haoyu Dong 0003 Nicholas Konz Hanxue Gu Maciej A. Mazurowski Lightweight Transformer Backbone for Medical Object Detection. 47-56 2022 CaPTion@MICCAI https://doi.org/10.1007/978-3-031-17979-2_5 conf/miccai/2022caption db/conf/miccai/caption2022.html#ZhangDKGM22 Nicholas Konz Hanxue Gu Haoyu Dong 0003 Maciej A. Mazurowski The Intrinsic Manifolds of Radiological Images and Their Role in Deep Learning. 684-694 2022 MICCAI (8) https://doi.org/10.1007/978-3-031-16452-1_65 conf/miccai/2022-8 db/conf/miccai/miccai2022-8.html#KonzGDM22

Fakrul Islam Tushar Husam Nujaim Wanyi Fu Ehsan Abadi Maciej A. Mazurowski Ehsan Samei William Paul Segars Joseph Y. Lo Quality or Quantity: Toward a Unified Approach for Multi-organ Segmentation in Body CT. 2022 abs/2203.01934 CoRR https://doi.org/10.48550/arXiv.2203.01934 db/journals/corr/corr2203.html#abs-2203-01934

Fakrul Islam Tushar Ehsan Abadi Saman Sotoudeh-Paima Rafael B. Fricks Maciej A. Mazurowski William Paul Segars Ehsan Samei Joseph Y. Lo Virtual vs. Reality: External Validation of COVID-19 Classifiers using XCAT Phantoms for Chest Computed Tomography. 2022 abs/2203.03074 CoRR https://doi.org/10.48550/arXiv.2203.03074 db/journals/corr/corr2203.html#abs-2203-03074

Hanxue Gu Keyu Li Roy J. Colglazier Jichen Yang Michael Lebhar Jonathan O'Donnell William A. Jiranek Richard C. Mather Rob J. French Nicholas Said Jikai Zhang Christine Park Maciej A. Mazurowski Automated Grading of Radiographic Knee Osteoarthritis Severity Combined with Joint Space Narrowing. 2022 abs/2203.08914 CoRR https://doi.org/10.48550/arXiv.2203.08914 db/journals/corr/corr2203.html#abs-2203-08914

Jikai Zhang Maciej A. Mazurowski Brian C. Allen Benjamin Wildman-Tobriner Multistep Automated Data Labelling Procedure (MADLaP) for Thyroid Nodules on Ultrasound: An Artificial Intelligence Approach for Automating Image Annotation. 2022 abs/2206.14305 CoRR https://doi.org/10.48550/arXiv.2206.14305 db/journals/corr/corr2206.html#abs-2206-14305

Nicholas Konz Hanxue Gu Haoyu Dong 0003 Maciej A. Mazurowski The Intrinsic Manifolds of Radiological Images and their Role in Deep Learning. 2022 abs/2207.02797 CoRR https://doi.org/10.48550/arXiv.2207.02797 db/journals/corr/corr2207.html#abs-2207-02797

Albert Swiecicki Nianyi Li Jonathan O'Donnell Nicholas Said Jichen Yang Richard C. Mather William A. Jiranek Maciej A. Mazurowski Deep learning-based algorithm for assessment of knee osteoarthritis severity in radiographs matches performance of radiologists. 2022 abs/2207.12521 CoRR https://doi.org/10.48550/arXiv.2207.12521 db/journals/corr/corr2207.html#abs-2207-12521

Jingxi Weng Benjamin Wildman-Tobriner Mateusz Buda Jichen Yang Lisa M. Ho Brian C. Allen Wendy L. Ehieli Chad M. Miller Jikai Zhang Maciej A. Mazurowski Deep Learning for Classification of Thyroid Nodules on Ultrasound: Validation on an Independent Dataset. 2022 abs/2207.13765 CoRR https://doi.org/10.48550/arXiv.2207.13765 db/journals/corr/corr2207.html#abs-2207-13765

Albert Swiecicki Nianyi Li Jonathan O'Donnell Nicholas Said Jichen Yang Richard C. Mather William A. Jiranek Maciej A. Mazurowski Deep learning-based algorithm for assessment of knee osteoarthritis severity in radiographs matches performance of radiologists. 104334 2021 133 Comput. Biol. Medicine https://doi.org/10.1016/j.compbiomed.2021.104334 db/journals/cbm/cbm133.html#SwiecickiLOSYMJ21

Gourav Modanwal Adithya Vellal Maciej A. Mazurowski Normalization of breast MRIs using cycle-consistent generative adversarial networks. 106225 2021 208 Comput. Methods Programs Biomed. https://doi.org/10.1016/j.cmpb.2021.106225 https://www.wikidata.org/entity/Q113320736 db/journals/cmpb/cmpb208.html#ModanwalVM21

Rachel Lea Draelos David Dov Maciej A. Mazurowski Joseph Y. Lo Ricardo Henao Geoffrey D. Rubin Lawrence Carin Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes. 101857 2021 67 Medical Image Anal. https://doi.org/10.1016/j.media.2020.101857 https://www.wikidata.org/entity/Q101136504 db/journals/mia/mia67.html#DraelosDMLHRC21

Zhe Zhu Mustafa R. Bashir Maciej A. Mazurowski Deep neural networks trained for segmentation are sensitive to brightness changes: preliminary results. 2021 Computer-Aided Diagnosis https://doi.org/10.1117/12.2582190 conf/micad/2021 db/conf/micad/micad2021.html#ZhuBM21 Maciej A. Mazurowski Karen Drukker Medical Imaging 2021: Computer-Aided Diagnosis, Online, February 15-20, 2021 Computer-Aided Diagnosis SPIE Proceedings 11597 SPIE 2021 9781510640238 9781510640245 https://www.spiedigitallibrary.org/conference-proceedings-of-SPIE/11597.toc db/conf/micad/micad2021.html

Vincent M. D'Anniballe Fakrul Islam Tushar Khrystyna Faryna Songyue Han Maciej A. Mazurowski Geoffrey D. Rubin Joseph Y. Lo Multi-Label Annotation of Chest Abdomen Pelvis Computed Tomography Text Reports Using Deep Learning. 2021 abs/2102.02959 CoRR https://arxiv.org/abs/2102.02959 db/journals/corr/corr2102.html#abs-2102-02959

Maciej A. Mazurowski Do We Expect More from Radiology AI than from Radiologists? 2021 abs/2105.06264 CoRR https://arxiv.org/abs/2105.06264 db/journals/corr/corr2105.html#abs-2105-06264

Yifan Zhang 0013 Haoyu Dong 0003 Nicholas Konz Hanxue Gu Maciej A. Mazurowski REPLICA: Enhanced Feature Pyramid Network by Local Image Translation and Conjunct Attention for High-Resolution Breast Tumor Detection. 2021 abs/2111.11546 CoRR https://arxiv.org/abs/2111.11546 db/journals/corr/corr2111.html#abs-2111-11546

Rui Hou 0002 Maciej A. Mazurowski Lars J. Grimm Jeffrey R. Marks Lorraine M. King Carlo C. Maley Eun-Sil Shelley Hwang Joseph Y. Lo Prediction of Upstaged Ductal Carcinoma In Situ Using Forced Labeling and Domain Adaptation. 1565-1572 2020 67 IEEE Trans. Biomed. Eng. 6 https://doi.org/10.1109/TBME.2019.2940195 https://www.wikidata.org/entity/Q90016399 db/journals/tbe/tbe67.html#HouMGMKMHL20

Rui Hou 0002 Lars J. Grimm Maciej A. Mazurowski Jeffrey R. Marks Lorraine M. King Carlo C. Maley Eun-Sil Shelley Hwang Joseph Y. Lo A multitask deep learning method in simultaneously predicting occult invasive disease in ductal carcinoma in-situ and segmenting microcalcifications in mammography. 2020 Computer-Aided Diagnosis https://doi.org/10.1117/12.2549669 conf/micad/2020 db/conf/micad/micad2020.html#0002GMMKMHL20 Nianyi Li Albert Swiecicki Nicholas Said Jonathan O'Donnell William A. Jiranek Maciej A. Mazurowski Automatic Kellgren-Lawrence grade estimation driven deep learning algorithms. 2020 Computer-Aided Diagnosis https://doi.org/10.1117/12.2551392 conf/micad/2020 db/conf/micad/micad2020.html#LiSSOJM20 Gourav Modanwal Adithya Vellal Mateusz Buda Maciej A. Mazurowski MRI image harmonization using cycle-consistent generative adversarial network. 2020 Computer-Aided Diagnosis https://doi.org/10.1117/12.2551301 conf/micad/2020 db/conf/micad/micad2020.html#ModanwalVBM20 Anindo Saha Fakrul Islam Tushar Khrystyna Faryna Vincent M. D'Anniballe Rui Hou 0002 Maciej A. Mazurowski Geoffrey D. Rubin Joseph Y. Lo Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features. 2020 Computer-Aided Diagnosis https://doi.org/10.1117/12.2550857 conf/micad/2020 db/conf/micad/micad2020.html#SahaTFD0MRL20 Albert Swiecicki Mateusz Buda Ashirbani Saha Nianyi Li Sujata V. Ghate Ruth Walsh Maciej A. Mazurowski Generative adversarial network-based image completion to identify abnormal locations in digital breast tomosynthesis images. 2020 Computer-Aided Diagnosis https://doi.org/10.1117/12.2551379 conf/micad/2020 db/conf/micad/micad2020.html#SwiecickiBSLGWM20 Albert Swiecicki Nicholas Said Jonathan O'Donnell Mateusz Buda Nianyi Li William A. Jiranek Maciej A. Mazurowski Automatic estimation of knee joint space narrowing by deep learning segmentation algorithms. 2020 Computer-Aided Diagnosis https://doi.org/10.1117/12.2551377 conf/micad/2020 db/conf/micad/micad2020.html#SwiecickiSOBLJM20 Horst K. Hahn Maciej A. Mazurowski Medical Imaging 2020: Computer-Aided Diagnosis, Houston, TX, USA, February 16-19, 2020 Computer-Aided Diagnosis SPIE Proceedings 11314 SPIE 2020 9781510633957 9781510633964 https://www.spiedigitallibrary.org/conference-proceedings-of-SPIE/11314.toc db/conf/micad/micad2020.html

Rachel Lea Draelos David Dov Maciej A. Mazurowski Joseph Y. Lo Ricardo Henao Geoffrey D. Rubin Lawrence Carin Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes. 2020 abs/2002.04752 CoRR https://arxiv.org/abs/2002.04752 db/journals/corr/corr2002.html#abs-2002-04752

Fakrul Islam Tushar Vincent M. D'Anniballe Rui Hou 0002 Maciej A. Mazurowski Wanyi Fu Ehsan Samei Geoffrey D. Rubin Joseph Y. Lo Weakly Supervised Multi-Organ Multi-Disease Classification of Body CT Scans. 2020 abs/2008.01158 CoRR https://arxiv.org/abs/2008.01158 db/journals/corr/corr2008.html#abs-2008-01158

Anindo Saha Fakrul Islam Tushar Khrystyna Faryna Vincent M. D'Anniballe Rui Hou 0002 Maciej A. Mazurowski Geoffrey D. Rubin Joseph Y. Lo Weakly Supervised 3D Classification of Chest CT using Aggregated Multi-Resolution Deep Segmentation Features. 2020 abs/2011.00149 CoRR https://arxiv.org/abs/2011.00149 db/journals/corr/corr2011.html#abs-2011-00149

Mateusz Buda Ashirbani Saha Ruth Walsh Sujata V. Ghate Nianyi Li Albert Swiecicki Joseph Y. Lo Maciej A. Mazurowski Detection of masses and architectural distortions in digital breast tomosynthesis: a publicly available dataset of 5, 060 patients and a deep learning model. 2020 abs/2011.07995 CoRR https://arxiv.org/abs/2011.07995 db/journals/corr/corr2011.html#abs-2011-07995

Zhe Zhu Ehab Albadawy Ashirbani Saha Jun Zhang 0018 Michael R. Harowicz Maciej A. Mazurowski Deep learning for identifying radiogenomic associations in breast cancer. 85-90 2019 109 Comput. Biol. Medicine https://doi.org/10.1016/j.compbiomed.2019.04.018 https://www.wikidata.org/entity/Q91708245 db/journals/cbm/cbm109.html#ZhuASZHM19

Mateusz Buda Ashirbani Saha Maciej A. Mazurowski Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm. 218-225 2019 109 Comput. Biol. Medicine https://doi.org/10.1016/j.compbiomed.2019.05.002 https://www.wikidata.org/entity/Q91945057 db/journals/cbm/cbm109.html#BudaSM19

Zhe Zhu Michael R. Harowicz Jun Zhang 0018 Ashirbani Saha Lars J. Grimm Eun-Sil Shelley Hwang Maciej A. Mazurowski Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ. 2019 115 Comput. Biol. Medicine https://doi.org/10.1016/j.compbiomed.2019.103498 https://www.wikidata.org/entity/Q91166438 db/journals/cbm/cbm115.html#ZhuHZSGHM19

Jun Zhang 0018 Ashirbani Saha Zhe Zhu Maciej A. Mazurowski Hierarchical Convolutional Neural Networks for Segmentation of Breast Tumors in MRI With Application to Radiogenomics. 435-447 2019 38 IEEE Trans. Medical Imaging 2 https://doi.org/10.1109/TMI.2018.2865671 https://www.wikidata.org/entity/Q91062245 db/journals/tmi/tmi38.html#ZhangSZM19

Matias Benitez James Tian Mark Kelly Vignesh Selvakumaran Matthew Phelan Maciej A. Mazurowski Joseph Y. Lo Geoffrey D. Rubin Ricardo Henao Combining deep learning methods and human knowledge to identify abnormalities in computed tomography (CT) reports. 109500V 2019 Computer-Aided Diagnosis https://doi.org/10.1117/12.2512886 conf/micad/2019 db/conf/micad/micad2019.html#BenitezTKSPMLRH19 Rui Hou 0002 Yinhao Ren Lars J. Grimm Maciej A. Mazurowski Jeffrey R. Marks Lorraine M. King Carlo C. Maley Eun-Sil Shelley Hwang Joseph Y. Lo Malignant microcalcification clusters detection using unsupervised deep autoencoders. 109502Q 2019 Computer-Aided Diagnosis https://doi.org/10.1117/12.2512829 conf/micad/2019 db/conf/micad/micad2019.html#HouRGMMKMHL19

Mateusz Buda Ashirbani Saha Maciej A. Mazurowski Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm. 2019 abs/1906.03720 CoRR http://arxiv.org/abs/1906.03720 db/journals/corr/corr1906.html#abs-1906-03720

Gourav Modanwal Adithya Vellal Maciej A. Mazurowski Normalization of breast MRIs using Cycle-Consistent Generative Adversarial Networks. 2019 abs/1912.08061 CoRR http://arxiv.org/abs/1912.08061 db/journals/corr/corr1912.html#abs-1912-08061

Mateusz Buda Atsuto Maki Maciej A. Mazurowski A systematic study of the class imbalance problem in convolutional neural networks. 249-259 2018 106 Neural Networks https://doi.org/10.1016/j.neunet.2018.07.011 https://www.wikidata.org/entity/Q90854851 db/journals/nn/nn106.html#BudaMM18

Rui Hou 0002 Bibo Shi Lars J. Grimm Maciej A. Mazurowski Jeffrey R. Marks Lorraine M. King Carlo C. Maley Eun-Sil Shelley Hwang Joseph Y. Lo Improving classification with forced labeling of other related classes: application to prediction of upstaged ductal carcinoma in situ using mammographic features. 105750R 2018 Computer-Aided Diagnosis https://doi.org/10.1117/12.2293809 conf/micad/2018 db/conf/micad/micad2018.html#HouSGMMKMHL18 Jun Zhang 0018 Ashirbani Saha Zhe Zhu Maciej A. Mazurowski Breast tumor segmentation in DCE-MRI using fully convolutional networks with an application in radiogenomics. 105750U 2018 Computer-Aided Diagnosis https://doi.org/10.1117/12.2295436 conf/micad/2018 db/conf/micad/micad2018.html#ZhangSZM18 Bibo Shi Rui Hou 0002 Maciej A. Mazurowski Lars J. Grimm Yinhao Ren Jeffrey R. Marks Lorraine M. King Carlo C. Maley Eun-Sil Shelley Hwang Joseph Y. Lo Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning. 105752R 2018 Computer-Aided Diagnosis https://doi.org/10.1117/12.2293594 conf/micad/2018 db/conf/micad/micad2018.html#ShiHMGRMKMHL18 Jun Zhang 0018 Sujata V. Ghate Lars J. Grimm Ashirbani Saha Elizabeth Hope Cain Zhe Zhu Maciej A. Mazurowski Convolutional encoder-decoder for breast mass segmentation in digital breast tomosynthesis. 105752V 2018 Computer-Aided Diagnosis https://doi.org/10.1117/12.2295437 conf/micad/2018 db/conf/micad/micad2018.html#ZhangGGSCZM18 Zhe Zhu Ehab Albadawy Ashirbani Saha Jun Zhang 0018 Michael R. Harowicz Maciej A. Mazurowski Breast cancer molecular subtype classification using deep features: preliminary results. 105752X 2018 Computer-Aided Diagnosis https://doi.org/10.1117/12.2295471 https://www.wikidata.org/entity/Q62835907 conf/micad/2018 db/conf/micad/micad2018.html#ZhuASZHM18 Zhe Zhu Michael R. Harowicz Jun Zhang 0018 Ashirbani Saha Lars J. Grimm Eun-Sil Shelley Hwang Maciej A. Mazurowski Deep learning-based features of breast MRI for prediction of occult invasive disease following a diagnosis of ductal carcinoma in situ: preliminary data. 105752W 2018 Computer-Aided Diagnosis https://doi.org/10.1117/12.2295470 https://www.wikidata.org/entity/Q62835913 conf/micad/2018 db/conf/micad/micad2018.html#ZhuHZSGHM18 Ashirbani Saha Michael R. Harowicz Lars J. Grimm Connie E. Kim Ruth Walsh Sujata V. Ghate Maciej A. Mazurowski Association of high proliferation marker Ki-67 expression with DCEMR imaging features of breast: a large scale evaluation. 1057507 2018 Computer-Aided Diagnosis https://doi.org/10.1117/12.2293207 https://www.wikidata.org/entity/Q62835903 conf/micad/2018 db/conf/micad/micad2018.html#SahaHGKWGM18 Jun Zhang 0018 Elizabeth Hope Cain Ashirbani Saha Zhe Zhu Maciej A. Mazurowski Breast mass detection in mammography and tomosynthesis via fully convolutional network-based heatmap regression. 1057525 2018 Computer-Aided Diagnosis https://doi.org/10.1117/12.2295443 conf/micad/2018 db/conf/micad/micad2018.html#ZhangCSZM18

Maciej A. Mazurowski Mateusz Buda Ashirbani Saha Mustafa R. Bashir Deep learning in radiology: an overview of the concepts and a survey of the state of the art. 2018 abs/1802.08717 CoRR http://arxiv.org/abs/1802.08717 db/journals/corr/corr1802.html#abs-1802-08717

Jun Zhang 0018 Ashirbani Saha Brian J. Soher Maciej A. Mazurowski Automatic deep learning-based normalization of breast dynamic contrast-enhanced magnetic resonance images. 2018 abs/1807.02152 CoRR http://arxiv.org/abs/1807.02152 db/journals/corr/corr1807.html#abs-1807-02152

Ashirbani Saha Xiaozhi Yu Dushyant Sahoo Maciej A. Mazurowski Effects of MRI scanner parameters on breast cancer radiomics. 384-391 2017 87 Expert Syst. Appl. https://doi.org/10.1016/j.eswa.2017.06.029 https://www.wikidata.org/entity/Q57498713 db/journals/eswa/eswa87.html#SahaYSM17

Maciej A. Mazurowski Kal Clark Nicholas M. Czarnek Parisa Shamsesfandabadi Katherine B. Peters Ashirbani Saha Radiogenomic analysis of lower grade glioma: a pilot multi-institutional study shows an association between quantitative image features and tumor genomics. 101341T 2017 Computer-Aided Diagnosis https://doi.org/10.1117/12.2255579 conf/micad/2017 db/conf/micad/micad2017.html#MazurowskiCCSPS17 David Paredes Ashirbani Saha Maciej A. Mazurowski Deep learning for segmentation of brain tumors: can we train with images from different institutions? 101341P 2017 Computer-Aided Diagnosis https://doi.org/10.1117/12.2255696 conf/micad/2017 db/conf/micad/micad2017.html#ParedesSM17 Bibo Shi Lars J. Grimm Maciej A. Mazurowski Jeffrey R. Marks Lorraine M. King Carlo C. Maley Eun-Sil Shelley Hwang Joseph Y. Lo Prediction of occult invasive disease in ductal carcinoma in situ using computer-extracted mammographic features. 101341I 2017 Computer-Aided Diagnosis https://doi.org/10.1117/12.2255731 conf/micad/2017 db/conf/micad/micad2017.html#ShiGMMKMHL17 Bibo Shi Lars J. Grimm Maciej A. Mazurowski Jeffrey R. Marks Lorraine M. King Carlo C. Maley Eun-Sil Shelley Hwang Joseph Y. Lo Can upstaging of ductal carcinoma in situ be predicted at biopsy by histologic and mammographic features? 101342X 2017 Computer-Aided Diagnosis https://doi.org/10.1117/12.2255847 conf/micad/2017 db/conf/micad/micad2017.html#ShiGMMKMHL17a

Mateusz Buda Atsuto Maki Maciej A. Mazurowski A systematic study of the class imbalance problem in convolutional neural networks. 2017 abs/1710.05381 CoRR http://arxiv.org/abs/1710.05381 db/journals/corr/corr1710.html#abs-1710-05381

Zhe Zhu Michael R. Harowicz Jun Zhang 0018 Ashirbani Saha Lars J. Grimm Eun-Sil Shelley Hwang Maciej A. Mazurowski Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ. 2017 abs/1711.10577 CoRR http://arxiv.org/abs/1711.10577 db/journals/corr/corr1711.html#abs-1711-10577

Zhe Zhu Ehab Albadawy Ashirbani Saha Jun Zhang 0018 Michael R. Harowicz Maciej A. Mazurowski Deep Learning for identifying radiogenomic associations in breast cancer. 2017 abs/1711.11097 CoRR http://arxiv.org/abs/1711.11097 db/journals/corr/corr1711.html#abs-1711-11097

Mengyu Wang 0001 Jing Zhang Lars J. Grimm Sujata V. Ghate Ruth Walsh Karen S. Johnson Joseph Y. Lo Maciej A. Mazurowski Predicting false negative errors in digital breast tomosynthesis among radiology trainees using a computer vision-based approach. 1-8 2016 56 Expert Syst. Appl. https://doi.org/10.1016/j.eswa.2016.01.053 db/journals/eswa/eswa56.html#WangZGGWJLM16

Mengyu Wang 0001 Meng Wang Lars J. Grimm Maciej A. Mazurowski A computer vision-based algorithm to predict false positive errors in radiology trainees when interpreting digital breast tomosynthesis cases. 490-499 2016 64 Expert Syst. Appl. https://doi.org/10.1016/j.eswa.2016.08.023 db/journals/eswa/eswa64.html#WangWGM16

Nicholas M. Czarnek Kal Clark Katherine B. Peters Leslie M. Collins Maciej A. Mazurowski Radiogenomics of glioblastoma: a pilot multi-institutional study to investigate a relationship between tumor shape features and tumor molecular subtype. 97850V 2016 Computer-Aided Diagnosis https://doi.org/10.1117/12.2217084 conf/micad/2016 db/conf/micad/micad2016.html#CzarnekCPCM16 Maciej A. Mazurowski Nicholas M. Czarnek Leslie M. Collins Katherine B. Peters Kal Clark Predicting outcomes in glioblastoma patients using computerized analysis of tumor shape: preliminary data. 97852T 2016 Computer-Aided Diagnosis https://doi.org/10.1117/12.2217098 conf/micad/2016 db/conf/micad/micad2016.html#MazurowskiCCPC16 Mengyu Wang 0001 Jing Zhang Lars J. Grimm Sujata V. Ghate Ruth Walsh Karen S. Johnson Joseph Y. Lo Maciej A. Mazurowski Identification of error making patterns in lesion detection on digital breast tomosynthesis using computer-extracted image features. 978709 2016 Image Perception, Observer Performance, and Technology Assessment https://doi.org/10.1117/12.2201061 conf/miipop/2016 db/conf/miipop/miipop2016.html#WangZGGWJLM16

Jing Zhang James I. Silber Maciej A. Mazurowski Modeling false positive error making patterns in radiology trainees for improved mammography education. 50-57 2015 54 J. Biomed. Informatics https://doi.org/10.1016/j.jbi.2015.01.007 https://www.wikidata.org/entity/Q41497976 db/journals/jbi/jbi54.html#ZhangSM15

Maciej A. Mazurowski Estimating confidence of individual rating predictions in collaborative filtering recommender systems. 3847-3857 2013 40 Expert Syst. Appl. 10 https://doi.org/10.1016/j.eswa.2012.12.102 db/journals/eswa/eswa40.html#Mazurowski13

Jordan M. Malof Maciej A. Mazurowski Georgia D. Tourassi The effect of class imbalance on case selection for case-based classifiers: An empirical study in the context of medical decision support. 141-145 2012 25 Neural Networks https://doi.org/10.1016/j.neunet.2011.07.002 https://www.wikidata.org/entity/Q37326730 db/journals/nn/nn25.html#MalofMT12

Maciej A. Mazurowski Joseph Y. Lo Brian P. Harrawood Georgia D. Tourassi Mutual information-based template matching scheme for detection of breast masses: From mammography to digital breast tomosynthesis. 815-823 2011 44 J. Biomed. Informatics 5 https://doi.org/10.1016/j.jbi.2011.04.008 https://www.wikidata.org/entity/Q35223749 db/journals/jbi/jbi44.html#MazurowskiLHT11

Georgia D. Tourassi Maciej A. Mazurowski Elizabeth A. Krupinski Perception-driven IT-CADe analysis for the detection of masses in screening mammography: initial investigation. 762406 2010 Computer-Aided Diagnosis https://doi.org/10.1117/12.845495 https://www.wikidata.org/entity/Q59237736 conf/micad/2010 db/conf/micad/micad2010.html#TourassiMK10

Jacek M. Zurada Maciej A. Mazurowski Rommohan Ragade Artur Abdullin Janusz Wojtusiak James E. Gentle Building virtual community in computational intelligence and machine learning [Research Frontier]. 43-54 2009 4 IEEE Comput. Intell. Mag. 1 https://doi.org/10.1109/MCI.2008.930986 db/journals/cim/cim4.html#ZuradaMRAWG09

Jordan M. Malof Maciej A. Mazurowski Georgia D. Tourassi The effect of class imbalance on case selection for case-based classifiers, with emphasis on computer-aided diagnosis systems. 1975-1980 2009 IJCNN https://doi.org/10.1109/IJCNN.2009.5178759 https://doi.ieeecomputersociety.org/10.1109/IJCNN.2009.5178759 https://www.wikidata.org/entity/Q59237790 conf/ijcnn/2009 db/conf/ijcnn/ijcnn2009.html#MalofMT09 Maciej A. Mazurowski Georgia D. Tourassi Evaluating classifiers: Relation between area under the receiver operator characteristic curve and overall accuracy. 2045-2049 2009 IJCNN https://doi.org/10.1109/IJCNN.2009.5178752 https://doi.ieeecomputersociety.org/10.1109/IJCNN.2009.5178752 https://www.wikidata.org/entity/Q59237747 conf/ijcnn/2009 db/conf/ijcnn/ijcnn2009.html#MazurowskiT09 Maciej A. Mazurowski Jordan M. Malof Jacek M. Zurada Georgia D. Tourassi A comparative study of database reduction methods for case-based computer-aided detection systems: preliminary results. 72600F 2009 Computer-Aided Diagnosis https://doi.org/10.1117/12.812442 https://www.wikidata.org/entity/Q59237759 conf/micad/2009 db/conf/micad/micad2009.html#MazurowskiMZT09 Maciej A. Mazurowski Georgia D. Tourassi Relational representation for improved decisions with an information-theoretic CADe system: initial experience. 726018 2009 Computer-Aided Diagnosis https://doi.org/10.1117/12.812965 https://www.wikidata.org/entity/Q59237786 conf/micad/2009 db/conf/micad/micad2009.html#MazurowskiT09

Maciej A. Mazurowski Piotr A. Habas Jacek M. Zurada Joseph Y. Lo Jay A. Baker Georgia D. Tourassi Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance. 427-436 2008 21 Neural Networks 2-3 https://doi.org/10.1016/j.neunet.2007.12.031 https://www.wikidata.org/entity/Q36593356 db/journals/nn/nn21.html#MazurowskiHZLBT08

Jacek M. Zurada Janusz Wojtusiak Fahmida Chowdhury James E. Gentle Cedric J. Jeannot Maciej A. Mazurowski Computational intelligence virtual community: Framework and implementation issues. 3153-3157 2008 IJCNN https://doi.org/10.1109/IJCNN.2008.4634244 conf/ijcnn/2008 db/conf/ijcnn/ijcnn2008.html#ZuradaWCGJM08 Maciej A. Mazurowski Jacek M. Zurada Georgia D. Tourassi Reliability Assessment of Ensemble Classifiers: Application in Mammography. 366-370 2008 Digital Mammography / IWDM https://doi.org/10.1007/978-3-540-70538-3_51 https://www.wikidata.org/entity/Q59237838 conf/mammo/2008 db/conf/mammo/iwdm2008.html#MazurowskiZT08 Maciej A. Mazurowski Jacek M. Zurada Georgia D. Tourassi Database decomposition of a knowledge-based CAD system in mammography: an ensemble approach to improve detection. 69151K 2008 Computer-Aided Diagnosis https://doi.org/10.1117/12.771556 https://www.wikidata.org/entity/Q59237800 conf/micad/2008 db/conf/micad/micad2008.html#MazurowskiZT08 Maciej A. Mazurowski Piotr A. Habas Georgia D. Tourassi Jacek M. Zurada Case-base reduction for a computer assisted breast cancer detection system using genetic algorithms. 600-605 2007 IEEE Congress on Evolutionary Computation https://doi.org/10.1109/CEC.2007.4424525 https://www.wikidata.org/entity/Q59237856 conf/cec/2007 db/conf/cec/cec2007.html#MazurowskiHTZ07 Maciej A. Mazurowski Jacek M. Zurada Solving decentralized multi-agent control problems with genetic algorithms. 1029-1034 2007 IEEE Congress on Evolutionary Computation https://doi.org/10.1109/CEC.2007.4424583 conf/cec/2007 db/conf/cec/cec2007.html#MazurowskiZ07 Georgia D. Tourassi Jonathan L. Jesneck Maciej A. Mazurowski Piotr A. Habas Stacked Generalization in Computer-Assisted Decision Systems: Empirical Comparison of Data Handling Schemes. 1343-1347 2007 IJCNN https://doi.org/10.1109/IJCNN.2007.4371153 https://www.wikidata.org/entity/Q59237866 conf/ijcnn/2007 db/conf/ijcnn/ijcnn2007.html#TourassiJMH07 Maciej A. Mazurowski Piotr A. Habas Georgia D. Tourassi Jacek M. Zurada Impact of Low Class Prevalence on the Performance Evaluation of Neural Network Based Classifiers: Experimental Study in the Context of Computer-Assisted Medical Diagnosis. 2005-2009 2007 IJCNN https://doi.org/10.1109/IJCNN.2007.4371266 https://www.wikidata.org/entity/Q59237861 conf/ijcnn/2007 db/conf/ijcnn/ijcnn2007.html#MazurowskiHTZ07 Maciej A. Mazurowski Jacek M. Zurada Solving Multi-agent Control Problems Using Particle Swarm Optimization. 105-111 2007 SIS https://doi.org/10.1109/SIS.2007.368033 conf/swis/2007 db/conf/swis/swis2007.html#MazurowskiZ07 Przemyslaw Szecówka Andrzej Szczurek Maciej A. Mazurowski Benedykt Licznerski Franz Pichler Neural Network Sensitivity Analysis Applied for the Reduction of the Sensor Matrix. 27-32 2005 conf/eurocast/2005 EUROCAST https://doi.org/10.1007/11556985_5 db/conf/eurocast/eurocast2005.html#SzecowkaSMLP05 Ehsan Abadi Artur Abdullin Ehab Albadawy Isaac S. Alderete Brian C. Allen Benjamin Alman Jordan Axelrod Reza Azad Fan Bai 0008 Jay A. Baker Mustafa R. Bashir Pedro R. A. S. Bassi Michael Baumgartner 0001 Matias Benitez Matthew B. Blaschko Afshin Bozorgpour Mateusz Buda Clark Bulleit Elizabeth Hope Cain Evan Calabrese Adrian Camarena Joseph Y. Cao Shixing Cao Lawrence Carin Anthony Catanzano Andrea Cavalli Ryan Chamberlain Hao Chen 0011 Jieneng Chen Yaqian Chen Yuwen Chen 0003 Ziyang Chen 0003 Yu-Cheng Chou Fahmida Chowdhury Kal Clark Roy J. Colglazier Leslie M. Collins Nicholas CzarnekNicholas M. Czarnek Vincent M. D'Anniballe Sergio Decherchi Oliver Díaz Haoyu Dong 0003 David Dov Rachel Lea Draelos Karen Drukker Yuxin Du 0001 James S. Duncan Wendy L. Ehieli Khrystyna Faryna Michael Fox Rob J. French Robert French Rafael FricksRafael B. Fricks Wanyi Fu Lidia Garrucho James E. Gentle Sujata V. Ghate Lars J. Grimm Hanxue Gu Rongze Gui Brian Guo Kartikeye Gupta Saumya Gupta Piotr A. Habas Horst K. Hahn Songyue Han Michael R. Harowicz Brian P. Harrawood Matthew G. Hartwig Hongyu He Junjun He Ricardo Henao Lisa M. Ho Rui Hou 0002 Jessica L. Houk Tiejun Huang 0001 Tiejun Huang 0003 Ziyan Huang Elizabeth Hubbard Eun-Sil Shelley Hwang Fabian Isensee Mohamed Sobhi Jabal Paul F. Jaeger Ayush Jain Cedric J. Jeannot Jonathan L. Jesneck William A. Jiranek Karen S. Johnson Mark Kelly Connie E. Kim Sungheon Gene Kim Lorraine M. King Yannick Kirchhoff Allan D. Kirk Nicholas Konz Kevin Kramer Elizabeth A. Krupinski Sally Kuehn Pratibha Kumari 0001 Kaisar Kushibar Dominic LaBella Daniel Lang 0003 Robert Lark Brian C. Lau Michael Lebhar Jisoo Lee Karim Lekadir Jay M. Levin John Lewin Keyu Li Lin Li Nianyi Li Qihang Li Wenxuan Li Xiaomeng Li 0001 Benedykt Licznerski Zhonghao Liu Joseph Y. Lo Darui Lu Emily Luo Ting Ma Kirti Magudia Klaus H. Maier-Hein Atsuto Maki Carlo C. Maley Jordan M. Malof Christopher Mantyh Jeffrey R. Marks Andrew Marshall Richard C. Mather Erin McCrum Dorit Merhof Alex M. Meyer Chad M. Miller Amber Mittendorf Gourav Modanwal Lawrence Ngo Derek L. Nguyen Husam Nujaim Jonathan O'Donnell Kwanseok Oh Richard Osuala David Paredes Christine Park Yifan Peng 0004 Katherine B. Peters Matthew Phelan Franz Pichler Rommohan Ragade Shipra Rajput Brandon Ramirez Yinhao Ren Maximilian Rokuss Holger Roth Saikat Roy Geoffrey D. Rubin Jeffrey D. Rudie Yousef Sadegheih Anindo Saha Ashirbani Saha Dushyant Sahoo Nicholas Said Ehsan Samei Carlos Santos Diego Schaps Julia A. Schnabel William Paul Segars Vignesh Selvakumaran Yashvi Atul Shah Parisa Shamsesfandabadi Bibo Shi Pengcheng Shi Yooseung Shin Erin Shropshire James I. Silber Denise Smith Brian J. Soher Saman Sotoudeh-Paima Heung-Il Suk Albert Swiecicki Andrzej Szczurek Przemyslaw Szecówka Gregory Szumel Yucheng Tang James Tian Georgia D. Tourassi Fakrul Islam Tushar Constantin Ulrich Adithya Vellal Preeti Verma Tassilo Wald Leah Waldman Ruth Walsh Haonan Wang Meng Wang Mengyu Wang 0001 Tingyu Wang Zifu Wang Pranav I. Warman Jingxi Weng Walter F. Wiggins Benjamin Wildman-Tobriner Jay Willhite Janusz Wojtusiak Regina Woody Kevin A. Wu Linshan Wu Yong Xia 0001 Yutong Xie 0001 Zhaohu Xing Daguang Xu Jichen Yang Jicheng Yang Jin Ye 0002 Yiwen Ye Zafer Yildiz Jee Seok Yoon Xiaozhi Yu Alan L. Yuille Dylan Zhang Jianpeng Zhang Jikai Zhang Jing Zhang Jun Zhang 0018 Yifan Zhang 0013 Yixin Zhang Bo Zhao 0015 Shen Zhao Zongwei Zhou Lei Zhu 0003 Zhe Zhu Jiaxin ZhuangJia-Xin Zhuang Jacek M. Zurada